[PDF][PDF] Improved Speech Enhancement Using TCN with Multiple Encoder-Decoder Layers.

V Kishore, N Tiwari, P Paramasivam - Interspeech, 2020 - interspeech2020.org
… similar architecture for speech enhancement task. As a single layer encoder-decoder may not
… suppression, we propose the use of encoder-decoder with multiple layers to achieve more …

Efficient speech enhancement using recurrent convolution encoder and decoder

A Karthik, JL MazherIqbal - Wireless Personal Communications, 2021 - Springer
… Numerous efforts are attempted to perform research in the area of speech enhancement
and many researchers are attracted towards the speech enhancement in later decades. …

[PDF][PDF] A convolutional recurrent neural network for real-time speech enhancement.

K Tan, DL Wang - Interspeech, 2018 - researchgate.net
… Many real-world applications of speech enhancement, such as hearing aids and cochlear …
-time monaural speech enhancement. We incorporate a convolutional encoderdecoder (CED) …

A novel encoder-decoder model via NS-LSTM used for bone-conducted speech enhancement

D Shan, X Zhang, C Zhang, L Li - IEEE Access, 2018 - ieeexplore.ieee.org
… The encoder-decoder model is widely used in Sequence to Sequence machine translation
[… introduce this model to speech enhancement. Based on the encoder illustrated in the section …

A fully convolutional neural network for speech enhancement

SR Park, J Lee - arXiv preprint arXiv:1609.07132, 2016 - arxiv.org
… in speech enhancement. We observed that the success of R-CED is associated with the …
feature space along the encoder and decreasing dimension along the decoder. We expect that R…

LSTM-convolutional-BLSTM encoder-decoder network for minimum mean-square error approach to speech enhancement

Z Wang, T Zhang, Y Shao, B Ding - Applied Acoustics, 2021 - Elsevier
… have been employed for speech enhancement. Most of the … Encoder-Decoder (LCLED)
network for speech enhancement. … achieve a higher quality of enhanced speech, a priori Signal-…

Separated noise suppression and speech restoration: LSTM-based speech enhancement in two stages

M Strake, B Defraene, K Fluyt, W Tirry… - 2019 IEEE Workshop …, 2019 - ieeexplore.ieee.org
… restoration is performed by a fully convolutional encoder-decoder (CED) network, where
we introduce temporal modeling capabilities by using a convolutional LSTM layer in the …

TCNN: Temporal convolutional neural network for real-time speech enhancement in the time domain

A Pandey, DL Wang - … Conference on Acoustics, Speech and …, 2019 - ieeexplore.ieee.org
… effectiveness of encoder-decoder based architecture for the time domain speech enhancement
[10, 12], we propose to combine both of them to obtain a real-time enhancement system. …

[PDF][PDF] Speech enhancement based on deep denoising autoencoder.

X Lu, Y Tsao, S Matsuda, C Hori - Interspeech, 2013 - researchgate.net
… noise in speech feature extraction for ASR [10]. In our study, we focus on speech enhancement
… It includes one nonlinear encoding stage and one linear decoding stage for real valued …

Real time speech enhancement in the waveform domain

A Defossez, G Synnaeve, Y Adi - arXiv preprint arXiv:2006.12847, 2020 - arxiv.org
… We present a causal speech enhancement model working on the raw waveform that runs
in real-time on a laptop CPU. The proposed model is based on an encoder-decoder